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Big Visual Data Analysis : Scene Classification and Geometric Labeling (Paperback) (Chen Chen & Yuzhuo

Big Visual Data Analysis : Scene Classification and Geometric Labeling (Paperback) (Chen Chen & Yuzhuo - image 1 of 1

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This book offers an overview of traditional big visual data analysis approaches and provides state-of-the-art solutions for several scene comprehension problems, indoor/outdoor classification, outdoorscene classification, and outdoor scene layout estimation. It is illustrated with numerous naturaland synthetic color images,and extensive statistical analysis is provided to help readers visualize big visualdata distribution and the associatedproblems. Although therehas been some research on big visual data analysis, little workhas been published on big image data distribution analysis using the modernstatistical approach described in thisbook. By presenting a complete methodology on big visual data analysis withthree illustrative scene comprehensionproblems, it provides ageneric framework that canbe applied to other big visual data analysis tasks.
Genre: Technology, Computers + Internet, Mathematics
Sub-Genre: Computer Graphics / General, Graphic Methods, Electronics / General
Series Title: Springerbriefs in Signal Processing
Format: Paperback
Publisher: Springer Verlag
Author: Chen Chen & Yuzhuo Ren & C. C. Jay Kuo
Language: English
Street Date: March 3, 2016
TCIN: 51162170
UPC: 9789811006296
Item Number (DPCI): 248-17-1385

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